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Property Methods In Aspen Plus

Property Methods In Aspen Plus. Ref: Physical Property Methods and Models, Aspen Technology, Inc. , 2006. Property Methods. A property method is a collection of property calculation routes. Thermodynamic properties: • Phase equilibrium (VLE, LLE, VLLE) • Enthalpy • Entropy

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Property Methods In Aspen Plus

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  1. Property Methods In Aspen Plus Ref: Physical Property Methods and Models, Aspen Technology, Inc., 2006

  2. Property Methods • A property method is a collection of property calculation routes. • Thermodynamic properties: • Phase equilibrium (VLE, LLE, VLLE) • Enthalpy • Entropy • Gibbs free energy • Molar volume • Transport properties: • Viscosity • Thermal conductivity • Diffusion coefficient • Surface tension

  3. Property Methods • It is important to choose the right property method for an application to ensure the success of your calculation. • The classes of property methods available are: • IDEAL • Liquid fugacity and K-value correlations • Petroleum tuned equations of state • Equations of state for high pressure hydrocarbon applications • Flexible and predictive equations of state • Liquid activity coefficients • Electrolyte activity coefficients and correlations • Solids processing • Steam tables

  4. EOS Method1- Vapor-Liquid Equilibrium • At Equilibrium: • Where • Therefore

  5. EOS Method2- Liquid-Liquid Equilibrium • At Equilibrium: • Where • Therefore

  6. EOS Method3- Vapor-Liquid-Liquid Equilibrium • At Equilibrium: • Where • Therefore

  7. EOS Method4- Fugacity Coefficient Formula Cubic Equations of State in the Aspen Physical Property System Redlich-Kwong(-Soave) basedPeng-Robinson based Redlich-Kwong (RK) Standard Peng-Robinson(PENG-ROB) Standard Redlich-Kwong-Soave(RK-SOAVE ) Peng-Robinson(PR-BM) Redlich-Kwong-Soave (RKS-BM) Peng-Robinson-MHV2 Redlich-Kwong-ASPEN(RK-ASPEN) Peng-Robinson-WS Schwartzentruber-Renon Redlich-Kwong-Soave-MHV2 Predictive SRK (PSRK) Redlich-Kwong-Soave-WS

  8. EOS Method5- Standard RK-SOAVE • Where

  9. EOS Method6- Standard PENG-ROB • Where

  10. EOS Method7- Advantages and Disadvantages • Equations of state can be used over wide ranges of temperature and pressure, including subcritical and supercritical regions. • Thermodynamic properties for both the vapor and liquid phases can be computed with a minimum amount of component data. • For the best representation of non-ideal systems, you must obtain binary interaction parameters from regression of experimental VLE data. Binary parameters for many component pairs are available in the Aspen databanks.

  11. EOS Method7- Advantages and Disadvantages… • Equations of state are suitable for modeling hydrocarbon systems with light gases such as CO2 , N2and H2 S . • The assumptions in the simpler equations of state (SRK, PR, Lee-Kesler , … ) are not capable of representing highly non-ideal chemical systems, such as alcohol-water systems. Use the activity-coefficient options sets for these systems at low pressures. At high pressures, use the predictive equations of state.

  12. Activity Coefficient Method 1- Vapor-Liquid Equilibrium • At Equilibrium: • Where • Therefore • F0r ideal gas and liquid

  13. Activity Coefficient Method 2- Liquid-Liquid Equilibrium • At Equilibrium: • Where • Therefore

  14. Activity Coefficient Method 3- Vapor-Liquid-Liquid Equilibrium • At Equilibrium: • Where • Therefore

  15. Activity Coefficient Method 4- Liquid Phase Reference Fugacity • For solvents: The reference state for a solvent is defined as pure component in the liquid state, at the temperature and pressure of the system. • fi*,v= Fugacity coefficient of pure component i at the system temperature and vapor pressures, as calculated from the vapor phase equation of state • qi*,l= Poynting factor

  16. Activity Coefficient Method 4- Liquid Phase Reference Fugacity • For dissolved gases: Light gases (such as O2 and N2 ) are usually supercritical at the temperature and pressure of the solution. In that case pure component vapor pressure is meaningless and therefore it cannot serve as the reference fugacity. • Using an Empirical Correlation: The reference state fugacity is calculated using an empirical correlation. Examples are the Chao-Seader or the Grayson-Streed model.

  17. Activity Coefficient Method 5- Multicomponent Mixtures • Multicomponent vapor-liquid equilibria are calculated from binary parameters. These parameters are usually fitted to binary phase equilibrium data (and not multicomponent data) and represent therefore binary information. The prediction of multicomponent phase behavior from binary information is generally good. • Multi-component liquid-liquid equilibria cannot be reliably predicted from binary interaction parameters fitted to binary data only. In general, regression of binary parameters from multi-component data will be necessary.

  18. Activity Coefficient Method 6- NRTL (Non-Random Two-Liquid) • The NRTL model calculates liquid activity coefficients for the following property methods: NRTL, NRTL-2, NRTL-HOC, NRTL-NTH, and NRTL-RK. It is recommended for highly nonideal chemical systems, and can be used for VLE, LLE and VLLE applications.

  19. Activity Coefficient Method 6-NRTL (Non-Random Two-Liquid) • Where • The binary parameters aij, bij, cij, dij, eijandfijcan be determined from VLE and/or LLE data regression. The Aspen Physical Property System has a large number of built-in binary parameters for the NRTL model.

  20. Activity Coefficient Method 7- Advantages and Disadvantages • The activity coefficient method is the best way to represent highly non-ideal liquid mixtures at low pressures. • You must estimate or obtain binary parameters from experimental data, such as phase equilibrium data. • Binary parameters are valid only over the temperature and pressure ranges of the data. • The activity coefficient approach should be used only at low pressures (below 10 atm). • The Wilson model cannot describe liquid-liquid separation at all; UNIQUAC, UNIFAC and NRTL are suitable.

  21. Principle Steps in Selecting the Appropriate Property Method • Choosing the most suitable property method. • Comparing the obtained predictions with data from the literature. • Estimate or obtain binary parameters from experimental data if necessary. • Generation of lab data if necessary to check the property model.

  22. Non-electrolyte Polar Electrolyte Real All Non-polar Pseudo & Real Vacuum Figure 1 Eric Carlson’s Recommendations See Figure 2 E? Electrolyte NRTL Or Pizer Peng-Robinson, Redlich-Kwong-Soave, Lee-Kesler-Plocker R? Chao-Seader, Grayson-Streed or Braun K-10 Polarity Real or pseudocomponents P? R? P? Pressure Braun K-10 or ideal E? Electrolytes

  23. Yes NRTL, UNIQUAC and their variances Yes P < 10 bar No (See also Figure 3) Yes No Polar Non-electrolytes No Yes P > 10 bar No Figure 2 LL? WILSON, NRTL, UNIQUAC and their variances ij? UNIFAC LLE P? LL? UNIFAC and its extensions Schwartentruber-Renon PR or SRK with WS PR or SRK with MHV2 LL? Liquid/Liquid ij? P? Pressure PSRK PR or SRK with MHV2 ij? Interaction Parameters Available

  24. Hexamers Yes Dimers Wilson NRTL UNIQUAC UNIFAC No Wilson, NRTL, UNIQUAC, or UNIFAC with special EOS for Hexamers Figure 3 DP? Wilson, NRTL, UNIQUAC, UNIFAC with Hayden O’Connell or Northnagel EOS VAP? Wilson, NRTL, UNIQUAC, or UNIFAC* with ideal Gas or RK EOS VAP? Vapor Phase Association UNIFAC* and its Extensions DP? Degrees of Polymerizatiom

  25. Non-electrolyte Polar Eric Carlson’s Recommendationsfor 1-Propanol ,H2O mixture Figure 1 See Figure 2 E? Polarity Real or pseudocomponents R? P? Pressure E? Electrolytes

  26. Yes P < 10 bar No (See also Figure 3) No Polar Non-electrolytes No Figure 2 LL? WILSON, NRTL, UNIQUAC and their variances ij? P? LL? UNIFAC and its extensions LL? Liquid/Liquid P? Pressure ij? Interaction Parameters Available

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